Training in progress epoch 2

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0154
-- Train Sparse Categorical Accuracy: 0.9957
-- Validation Loss: 0.0147
-- Validation Sparse Categorical Accuracy: 0.9959
-- Epoch: 1
+- Train Loss: 0.0092
+- Train Sparse Categorical Accuracy: 0.9975
+- Validation Loss: 0.0184
+- Validation Sparse Categorical Accuracy: 0.9954
+- Epoch: 2
 
 ## Model description
 
@@ -46,6 +46,7 @@ The following hyperparameters were used during training:
 |:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
 | 0.0596     | 0.9804                            | 0.0181          | 0.9953                                 | 0     |
 | 0.0154     | 0.9957                            | 0.0147          | 0.9959                                 | 1     |
+| 0.0092     | 0.9975                            | 0.0184          | 0.9954                                 | 2     |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:eecd7a366c517d7ba3db9868df2c9f4268fed7329c7b2972fae84c9fdcefd466
 size 267951808